Topic Selection (geb-topic-selection)

SkillDev tools

Use when judging whether a game-theory result is the right fit and scale for Games and Economic Behavior (GEB), does it advance the frontiers of game theory and its applications? Tests the idea against GEB's specialist-but-general-interest bar before the paper is built out.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Topic Selection (geb-topic-selection) skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Games-and-Economic-Behavior-Skills/skills/geb-topic-selection/SKILL.md and read by ahel’s review.

When to trigger

  • You have a model or experiment but are unsure it is "GEB-sized"
  • The result is correct but feels incremental over a known theorem
  • You are deciding between GEB and a field outlet (theory, behavioral, CS/EC venue)
  • A referee or colleague said "true, but so what?"

The GEB fit bar

GEB is the leading specialist game-theory journal and an official journal of the Game Theory Society (Elsevier; founded 1989 by Ehud Kalai; chief editor Hervé Moulin since 2021). The defining test is not general-economics policy interest — it is whether the work significantly advances the frontiers of game theory and its applications. The scope is deliberately broad across methods: equilibrium theory, mechanism and market design, behavioral game theory, learning and dynamics, and experimental/empirical work — and broad across fields that use game theory: economics, political science, biology, computer science, mathematics, and psychology. The audience is a general game-theory readership, so the contribution must be legible and interesting beyond one narrow sub-literature.

Selectivity is explicit and high: about one-third of submissions are desk-rejected, and only ~15% are eventually published. The Editor in Charge will desk-reject papers judged to have no chance of meeting the publication criterion. That makes "what does this teach game theory that we did not know?" the first-page question.

Fit tests (a GEB paper usually clears several)

  • Conceptual advance: a new solution concept, a sharper characterization, a new class of games, an existence/uniqueness result, or a unifying framework.
  • Mechanism / design advance: a new mechanism, an impossibility/possibility result, an optimal or constructive design.
  • Behavioral advance: a model or experiment that changes how strategic behavior is understood, well-identified against alternatives.
  • Generality / surprise: the result holds more broadly than expected, or overturns an intuition.
  • Cross-field reach: game-theoretic content that speaks to CS/EC, biology, or political science — common at GEB, but it must still be a game-theory contribution.

Anti-patterns

  • A correct but routine extension ("Theorem 1 with one more player") with no new insight
  • An applied paper that uses a game but contributes nothing to game theory itself (better at a field journal)
  • A pure CS/EC conference result reframed with no added generality or economic interpretation
  • Over-claiming a narrow special case as a general theory

Fit pass for Games and Economic Behavior

Treat this skill as an executable review pass, not a prose hint. First lock the primitives, equilibrium concept, comparative statics, and proof or experiment boundary; then judge whether the current manuscript answers the venue's real reader: game theorists who ask what the model teaches beyond a clever example.

  • Do the pass: Score the manuscript on venue fit, novelty, evidence readiness, and audience ownership; reject a prestige-only target when a sibling venue owns the contribution more directly.
  • Return a ledger: give claim / evidence / risk / manuscript location rows, so the next agent can edit rather than rediscover the issue.
  • Sibling guard: compare against JET for theory abstraction, Theoretical Economics for compact theory contribution, Experimental Economics for experiment-first designs; if a sibling owns the contribution, recommend re-routing before polishing format.
  • Stop condition: do not give submission-ready advice until the pack's resources/official-source-map.md has been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.

Output format

【Result type】theory / mechanism design / behavioral / experiment / cross-field
【Advance to game theory】one sentence — what we did not know before
【Fit tests cleared】[conceptual / design / behavioral / generality / cross-field]
【Desk-reject risk】low / medium / high — why
【Verdict】GEB-fit / borderline / better elsewhere
【Next step】geb-literature-positioning

Signals

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Item type
skill
Key
geb-topic-selection
Source
github.com/brycewang-stanford/awesome-journal-skills